Generative artificial intelligence (GenAI) empowers digital forensics with dual representation. At the macro level, the three core driving forces of algorithm, computing power, and data drive the paradigm shift of digital forensics research. At the micro level, technological principles empower the transformation of scenarios for digital forensics commission acceptance, digital forensics implementation, and digital forensics document generation. While GenAI empowers digital forensics to promote the continuous emergence of new quality productive forces in this field, its operating principles also pose challenges to its credibility and reliability in participating in digital forensics. Specifically, there is a lack of independence in digital forensics, doubts about legal responsibility attribution, low model accuracy, insufficient information security protection, and poor interpretability. To prevent the risks of GenAI application in digital forensics, we should draw on the regulatory experience of EU GenAI in scientific research, and provide useful reference for the development of GenAI in the field of digital forensics at the conceptual and practical levels.